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ORCIDOndrej Dusek
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- affiliation: Charles University, Prague, Czech Republic
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2020 – today
- 2024
[c73]Zdenek Kasner, Ondrej Dusek:
Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation. ACL (1) 2024: 12045-12072- [c72]Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, Ondrej Dusek:
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs. EACL (1) 2024: 67-93 - [c71]Adam Wojciechowski, Mateusz Lango, Ondrej Dusek:
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach. EMNLP (Findings) 2024: 2340-2351 - [c70]Simone Balloccu, Ehud Reiter, Karen Li, Rafael Sargsyan, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni, Ondrej Dusek:
Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration. EMNLP (Findings) 2024: 11519-11545 - [c69]Zdenek Kasner, Ondrej Plátek, Patrícia Schmidtová, Simone Balloccu, Ondrej Dusek:
factgenie: A Framework for Span-based Evaluation of Generated Texts. INLG (System Demonstrations) 2024: 13-15 - [c68]Sourabrata Mukherjee, Atul Kr. Ojha, Akanksha Bansal, Deepak Alok, John P. McCrae, Ondrej Dusek:
Multilingual Text Style Transfer: Datasets & Models for Indian Languages. INLG 2024: 494-522 - [c67]Sourabrata Mukherjee, Atul Kr. Ojha, Ondrej Dusek:
Are Large Language Models Actually Good at Text Style Transfer? INLG 2024: 523-539 - [c66]Patrícia Schmidtová, Saad Mahamood, Simone Balloccu, Ondrej Dusek, Albert Gatt, Dimitra Gkatzia, David M. Howcroft, Ondrej Plátek, Adarsa Sivaprasad:
Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices. INLG 2024: 557-583 - [c65]Jedrzej Warczynski, Mateusz Lango, Ondrej Dusek:
Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems. INLG 2024: 622-630 - [c64]Nalin Kumar, Ondrej Dusek:
LEEETs-Dial: Linguistic Entrainment in End-to-End Task-oriented Dialogue systems. NAACL-HLT (Findings) 2024: 727-735 - [i59]Zdenek Kasner, Ondrej Dusek:
Beyond Reference-Based Metrics: Analyzing Behaviors of Open LLMs on Data-to-Text Generation. CoRR abs/2401.10186 (2024) - [i58]Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, Ondrej Dusek:
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs. CoRR abs/2402.03927 (2024) - [i57]Sourabrata Mukherjee, Akanksha Bansal, Atul Kr. Ojha, John P. McCrae, Ondrej Dusek:
Text Detoxification as Style Transfer in English and Hindi. CoRR abs/2402.07767 (2024) - [i56]Sourabrata Mukherjee, Atul Kr. Ojha, Akanksha Bansal, Deepak Alok, John P. McCrae, Ondrej Dusek:
Multilingual Text Style Transfer: Datasets & Models for Indian Languages. CoRR abs/2405.20805 (2024) - [i55]Sourabrata Mukherjee, Atul Kr. Ojha, Ondrej Dusek:
Are Large Language Models Actually Good at Text Style Transfer? CoRR abs/2406.05885 (2024) - [i54]Sourabrata Mukherjee, Ondrej Dusek:
Text Style Transfer: An Introductory Overview. CoRR abs/2407.14822 (2024) - [i53]Sourabrata Mukherjee, Mateusz Lango, Zdenek Kasner, Ondrej Dusek:
A Survey of Text Style Transfer: Applications and Ethical Implications. CoRR abs/2407.16737 (2024) - [i52]Zdenek Kasner, Ondrej Plátek, Patrícia Schmidtová, Simone Balloccu, Ondrej Dusek:
factgenie: A Framework for Span-based Evaluation of Generated Texts. CoRR abs/2407.17863 (2024) - [i51]Jindrich Helcl, Zdenek Kasner, Ondrej Dusek, Tomasz Limisiewicz, Dominik Machácek, Tomás Musil, Jindrich Libovický:
Teaching LLMs at Charles University: Assignments and Activities. CoRR abs/2407.19798 (2024) - [i50]Adam Wojciechowski, Mateusz Lango, Ondrej Dusek:
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach. CoRR abs/2407.20899 (2024) - [i49]Patrícia Schmidtová, Saad Mahamood, Simone Balloccu, Ondrej Dusek, Albert Gatt, Dimitra Gkatzia, David M. Howcroft, Ondrej Plátek, Adarsa Sivaprasad:
Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation Practices. CoRR abs/2408.09169 (2024) - [i48]Michelle Elizabeth, Morgan Veyret, Miguel Couceiro, Ondrej Dusek, Lina Maria Rojas-Barahona:
Do Large Language Models with Reasoning and Acting Meet the Needs of Task-Oriented Dialogue? CoRR abs/2412.01262 (2024) - 2023
- [c63]Zdenek Kasner
, Ekaterina Garanina, Ondrej Plátek, Ondrej Dusek:
TabGenie: A Toolkit for Table-to-Text Generation. ACL (demo) 2023: 444-455 - [c62]Sourabrata Mukherjee, Vojtech Hudecek, Ondrej Dusek:
Polite Chatbot: A Text Style Transfer Application. EACL (Student Research Workshop) 2023: 87-93 - [c61]Zdenek Kasner, Ioannis Konstas, Ondrej Dusek:
Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models. EACL 2023: 2390-2407 - [c60]Mateusz Lango, Ondrej Dusek:
Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation. EMNLP 2023: 2853-2862 - [c59]Sourabrata Mukherjee, Ondrej Dusek:
Leveraging Low-resource Parallel Data for Text Style Transfer. INLG 2023: 388-395 - [c58]Saad Obaid ul Islam, Iza Skrjanec, Ondrej Dusek, Vera Demberg:
Tackling Hallucinations in Neural Chart Summarization. INLG 2023: 414-423 - [c57]Vojtech Hudecek, Ondrej Dusek:
Are Large Language Models All You Need for Task-Oriented Dialogue? SIGDIAL 2023: 216-228 - [c56]Ondrej Plátek, Ondrej Dusek:
MooseNet: A Trainable Metric for Synthesized Speech with a PLDA Module. SSW 2023: 48-54 - [e2]David Schlangen, Svetlana Stoyanchev, Shafiq Joty, Ondrej Dusek, Casey Kennington, Malihe Alikhani:
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2023, Prague, Czechia, September 11 - 15, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-028-8 [contents] - [i47]Ondrej Plátek, Ondrej Dusek:
MooseNet: A trainable metric for synthesized speech with plda backend. CoRR abs/2301.07087 (2023) - [i46]Zdenek Kasner, Ekaterina Garanina, Ondrej Plátek, Ondrej Dusek:
TabGenie: A Toolkit for Table-to-Text Generation. CoRR abs/2302.14169 (2023) - [i45]Vojtech Hudecek, Ondrej Dusek:
Are LLMs All You Need for Task-Oriented Dialogue? CoRR abs/2304.06556 (2023) - [i44]Anya Belz, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose Maria Alonso-Moral, Mohammad Arvan, Jackie Chi Kit Cheung, Mark Cieliebak, Elizabeth Clark, Kees van Deemter, Tanvi Dinkar, Ondrej Dusek, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondrej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel R. Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang:
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR abs/2305.01633 (2023) - [i43]Saad Obaid ul Islam, Iza Skrjanec, Ondrej Dusek, Vera Demberg:
Tackling Hallucinations in Neural Chart Summarization. CoRR abs/2308.00399 (2023) - [i42]Ondrej Plátek, Vojtech Hudecek, Patrícia Schmidtová, Mateusz Lango, Ondrej Dusek:
Three Ways of Using Large Language Models to Evaluate Chat. CoRR abs/2308.06502 (2023) - [i41]Ondrej Plátek, Mateusz Lango, Ondrej Dusek:
With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector. CoRR abs/2308.06527 (2023) - [i40]Mateusz Lango, Ondrej Dusek:
Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation. CoRR abs/2310.16964 (2023) - [i39]Nalin Kumar, Ondrej Dusek:
LEEETs-Dial: Linguistic Entrainment in End-to-End Task-oriented Dialogue systems. CoRR abs/2311.09390 (2023) - [i38]Sourabrata Mukherjee, Zdenek Kasner, Ondrej Dusek:
Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising. CoRR abs/2312.14708 (2023) - 2022
- [j6]Gábor Baranyi, Bruno Carlos Dos Santos Melício, Zsófia Gaál, Levente Hajder, András Simonyi, Dániel Sindely, Joul Skaf, Ondrej Dusek, Tomás Nekvinda, András Lorincz:
AI Technologies for Machine Supervision and Help in a Rehabilitation Scenario. Multimodal Technol. Interact. 6(7): 48 (2022) - [c55]Zdenek Kasner, Ondrej Dusek:
Neural Pipeline for Zero-Shot Data-to-Text Generation. ACL (1) 2022: 3914-3932 - [c54]Vojtech Hudecek, Ondrej Dusek:
Learning Interpretable Latent Dialogue Actions With Less Supervision. AACL/IJCNLP (1) 2022: 297-308 - [c53]Vojtech Hudecek, Léon-Paul Schaub, Daniel Stancl, Patrick Paroubek, Ondrej Dusek:
A Unifying View On Task-oriented Dialogue Annotation. LREC 2022: 1286-1296 - [c52]Tomás Nekvinda, Ondrej Dusek:
AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog. SIGDIAL 2022: 283-297 - [c51]Gustavo Penha, Svitlana Vakulenko, Ondrej Dusek, Leigh Clark, Vaishali Pal, Vaibhav Adlakha:
The Seventh Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI'22). SIGIR 2022: 3466-3469 - [c50]Sourabrata Mukherjee, Zdenek Kasner, Ondrej Dusek:
Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising. TSD 2022: 172-186 - [e1]Oliver Lemon, Dilek Hakkani-Tür, Junyi Jessy Li, Arash Ashrafzadeh, Daniel Hernández García, Malihe Alikhani, David Vandyke, Ondrej Dusek:
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2022, Edinburgh, UK, 07-09 September 2022. Association for Computational Linguistics 2022 [contents] - [i37]Zdenek Kasner, Ondrej Dusek:
Neural Pipeline for Zero-Shot Data-to-Text Generation. CoRR abs/2203.16279 (2022) - [i36]Patrícia Schmidtová, Dávid Javorský, Christián Miklás, Tomás Musil, Rudolf Rosa, Ondrej Dusek:
DialogueScript: Using Dialogue Agents to Produce a Script. CoRR abs/2206.08425 (2022) - [i35]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i34]Tomás Nekvinda, Ondrej Dusek:
AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog. CoRR abs/2209.03632 (2022) - [i33]Vojtech Hudecek, Ondrej Dusek:
Learning Interpretable Latent Dialogue Actions With Less Supervision. CoRR abs/2209.11128 (2022) - [i32]Zdenek Kasner, Ioannis Konstas, Ondrej Dusek:
Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models. CoRR abs/2210.07373 (2022) - 2021
- [j5]Svitlana Vakulenko, Ondrej Dusek, Leigh Clark:
Report on the 6th workshop on search-oriented conversational AI (SCAI 2021). SIGIR Forum 55(2): 20:1-20:14 (2021) - [c49]Xinnuo Xu, Ondrej Dusek, Verena Rieser, Ioannis Konstas:
AggGen: Ordering and Aggregating while Generating. ACL/IJCNLP (1) 2021: 1419-1434 - [c48]Vojtech Hudecek, Ondrej Dusek, Zhou Yu:
Discovering Dialogue Slots with Weak Supervision. ACL/IJCNLP (1) 2021: 2430-2442 - [c47]Rudolf Rosa, Tomás Musil, Ondrej Dusek, Dominik Jurko, Patrícia Schmidtová, David Marecek, Ondrej Bojar, Tom Kocmi, Daniel Hrbek, David Kosták, Martina Kinská, Marie Nováková, Josef Dolezal, Klára Vosecká, Tomás Studeník, Petr Zabka:
THEaiTRE 1.0: Interactive Generation of Theatre Play Scripts. Text2Story@ECIR 2021: 71-76 - [c46]Xinnuo Xu, Ondrej Dusek, Shashi Narayan, Verena Rieser, Ioannis Konstas:
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization. EMNLP (Findings) 2021: 1541-1552 - [c45]Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondrej Dusek, Dimitra Gkatzia, Stephanie Inglis, Leo Leppänen, Saad Mahamood, Emma Manning, Stephanie Schoch, Craig Thomson, Luou Wen:
Underreporting of errors in NLG output, and what to do about it. INLG 2021: 140-153 - [c44]Zdenek Kasner, Simon Mille, Ondrej Dusek:
Text-in-Context: Token-Level Error Detection for Table-to-Text Generation. INLG 2021: 259-265 - [c43]Rudolf Rosa, Tomás Musil, Ondrej Dusek, Dominik Jurko, Patrícia Schmidtová, David Marecek, Ondrej Bojar, Tom Kocmi, Daniel Hrbek, David Kosták, Martina Kinská, Marie Nováková, Josef Dolezal, Klára Vosecká, Tomás Studeník, Petr Zabka:
When a Robot Writes a Play: Automatically Generating a Theatre Play Script. ALIFE 2021: 60 - [c42]Léon-Paul Schaub, Vojtech Hudecek, Daniel Stancl, Ondrej Dusek, Patrick Paroubek:
Définition et détection des incohérences du système dans les dialogues orientés tâche. (We present experiments on automatically detecting inconsistent behavior of task-oriented dialogue systems from the context). TALN (1) 2021: 142-152 - [i31]Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou:
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR abs/2102.01672 (2021) - [i30]Jonas Kulhanek, Vojtech Hudecek, Tomás Nekvinda, Ondrej Dusek:
AuGPT: Dialogue with Pre-trained Language Models and Data Augmentation. CoRR abs/2102.05126 (2021) - [i29]Rudolf Rosa, Tomás Musil, Ondrej Dusek, Dominik Jurko, Patrícia Schmidtová, David Marecek, Ondrej Bojar, Tom Kocmi, Daniel Hrbek, David Kosták, Martina Kinská, Marie Nováková, Josef Dolezal, Klára Vosecká, Tomás Studeník, Petr Zabka:
THEaiTRE 1.0: Interactive generation of theatre play scripts. CoRR abs/2102.08892 (2021) - [i28]Tomás Nekvinda, Ondrej Dusek:
Shades of BLEU, Flavours of Success: The Case of MultiWOZ. CoRR abs/2106.05555 (2021) - [i27]Xinnuo Xu, Ondrej Dusek, Verena Rieser, Ioannis Konstas:
AGGGEN: Ordering and Aggregating while Generating. CoRR abs/2106.05580 (2021) - [i26]Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondrej Dusek, Dimitra Gkatzia, Stephanie Inglis, Leo Leppänen, Saad Mahamood, Emma Manning, Stephanie Schoch, Craig Thomson, Luou Wen:
Underreporting of errors in NLG output, and what to do about it. CoRR abs/2108.01182 (2021) - [i25]Xinnuo Xu, Ondrej Dusek, Shashi Narayan, Verena Rieser, Ioannis Konstas:
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization. CoRR abs/2109.10650 (2021) - [i24]Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021) - 2020
- [j4]Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Evaluating the state-of-the-art of End-to-End Natural Language Generation: The E2E NLG challenge. Comput. Speech Lang. 59: 123-156 (2020) - [c41]Xinnuo Xu, Ondrej Dusek, Jingyi Li, Verena Rieser, Ioannis Konstas:
Fact-based Content Weighting for Evaluating Abstractive Summarisation. ACL 2020: 5071-5081 - [c40]Jindrich Libovický, Zdenek Kasner, Jindrich Helcl, Ondrej Dusek:
Expand and Filter: CUNI and LMU Systems for the WNGT 2020 Duolingo Shared Task. NGT@ACL 2020: 153-160 - [c39]Rudolf Rosa, Ondrej Dusek, Tom Kocmi, David Marecek, Tomás Musil, Patrícia Schmidtová, Dominik Jurko, Ondrej Bojar, Daniel Hrbek, David Kosták, Martina Kinská, Josef Dolezal, Klára Vosecká:
THEaiTRE: Artificial Intelligence to Write a Theatre Play. AI4Narratives@IJCAI 2020: 9-13 - [c38]Zdenek Kasner, Ondrej Dusek:
Data-to-Text Generation with Iterative Text Editing. INLG 2020: 60-67 - [c37]Ondrej Dusek, Zdenek Kasner:
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference. INLG 2020: 131-137 - [c36]Tomás Nekvinda, Ondrej Dusek:
One Model, Many Languages: Meta-Learning for Multilingual Text-to-Speech. INTERSPEECH 2020: 2972-2976 - [c35]Jan Vainer, Ondrej Dusek:
SpeedySpeech: Efficient Neural Speech Synthesis. INTERSPEECH 2020: 3575-3579 - [i23]Rudolf Rosa, Ondrej Dusek, Tom Kocmi, David Marecek, Tomás Musil, Patrícia Schmidtová, Dominik Jurko, Ondrej Bojar, Daniel Hrbek, David Kosták, Martina Kinská, Josef Dolezal, Klára Vosecká:
THEaiTRE: Artificial Intelligence to Write a Theatre Play. CoRR abs/2006.14668 (2020) - [i22]Tomás Nekvinda, Ondrej Dusek:
One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech. CoRR abs/2008.00768 (2020) - [i21]Jan Vainer, Ondrej Dusek:
SpeedySpeech: Efficient Neural Speech Synthesis. CoRR abs/2008.03802 (2020) - [i20]Zdenek Kasner, Ondrej Dusek:
Data-to-Text Generation with Iterative Text Editing. CoRR abs/2011.01694 (2020) - [i19]Ondrej Dusek, Zdenek Kasner:
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference. CoRR abs/2011.10819 (2020)
2010 – 2019
- 2019
- [c34]Ondrej Dusek, Karin Sevegnani, Ioannis Konstas, Verena Rieser:
Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking). INLG 2019: 369-376 - [c33]Ondrej Dusek, David M. Howcroft, Verena Rieser:
Semantic Noise Matters for Neural Natural Language Generation. INLG 2019: 421-426 - [c32]Ondrej Dusek, Filip Jurcícek:
Neural Generation for Czech: Data and Baselines. INLG 2019: 563-574 - [c31]Simon Keizer, Ondrej Dusek, Xingkun Liu, Verena Rieser:
User Evaluation of a Multi-dimensional Statistical Dialogue System. SIGdial 2019: 392-398 - [i18]Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge. CoRR abs/1901.07931 (2019) - [i17]Simon Keizer, Ondrej Dusek, Xingkun Liu, Verena Rieser:
User Evaluation of a Multi-dimensional Statistical Dialogue System. CoRR abs/1909.02965 (2019) - [i16]Ondrej Dusek, Karin Sevegnani, Ioannis Konstas, Verena Rieser:
Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking). CoRR abs/1910.04731 (2019) - [i15]Ondrej Dusek, Filip Jurcícek:
Neural Generation for Czech: Data and Baselines. CoRR abs/1910.05298 (2019) - [i14]Ondrej Dusek, David M. Howcroft, Verena Rieser:
Semantic Noise Matters for Neural Natural Language Generation. CoRR abs/1911.03905 (2019) - 2018
- [c30]Igor Shalyminov, Ondrej Dusek, Oliver Lemon:
Neural Response Ranking for Social Conversation: A Data-Efficient Approach. SCAI@EMNLP 2018: 1-8 - [c29]Shubham Agarwal, Ondrej Dusek, Ioannis Konstas, Verena Rieser:
A Knowledge-Grounded Multimodal Search-Based Conversational Agent. SCAI@EMNLP 2018: 59-66 - [c28]Xinnuo Xu, Ondrej Dusek, Ioannis Konstas, Verena Rieser:
Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity. EMNLP 2018: 3981-3991 - [c27]Shubham Agarwal, Ondrej Dusek, Ioannis Konstas, Verena Rieser:
Improving Context Modelling in Multimodal Dialogue Generation. INLG 2018: 129-134 - [c26]Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Findings of the E2E NLG Challenge. INLG 2018: 322-328 - [c25]Jekaterina Novikova, Ondrej Dusek, Verena Rieser:
RankME: Reliable Human Ratings for Natural Language Generation. NAACL-HLT (2) 2018: 72-78 - [i13]Jekaterina Novikova, Ondrej Dusek, Verena Rieser:
RankME: Reliable Human Ratings for Natural Language Generation. CoRR abs/1803.05928 (2018) - [i12]Xinnuo Xu, Ondrej Dusek, Ioannis Konstas, Verena Rieser:
Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity. CoRR abs/1809.06873 (2018) - [i11]Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Findings of the E2E NLG Challenge. CoRR abs/1810.01170 (2018) - [i10]Shubham Agarwal, Ondrej Dusek, Ioannis Konstas, Verena Rieser:
A Knowledge-Grounded Multimodal Search-Based Conversational Agent. CoRR abs/1810.11954 (2018) - [i9]Shubham Agarwal, Ondrej Dusek, Ioannis Konstas, Verena Rieser:
Improving Context Modelling in Multimodal Dialogue Generation. CoRR abs/1810.11955 (2018) - [i8]Igor Shalyminov, Ondrej Dusek, Oliver Lemon:
Neural Response Ranking for Social Conversation: A Data-Efficient Approach. CoRR abs/1811.00967 (2018) - 2017
- [c24]Jekaterina Novikova, Ondrej Dusek, Amanda Cercas Curry, Verena Rieser:
Why We Need New Evaluation Metrics for NLG. EMNLP 2017: 2241-2252 - [c23]Jekaterina Novikova, Ondrej Dusek, Verena Rieser:
The E2E Dataset: New Challenges For End-to-End Generation. SIGDIAL Conference 2017: 201-206 - [i7]Jekaterina Novikova, Ondrej Dusek, Verena Rieser:
The E2E Dataset: New Challenges For End-to-End Generation. CoRR abs/1706.09254 (2017) - [i6]Jekaterina Novikova, Ondrej Dusek, Verena Rieser:
Data-driven Natural Language Generation: Paving the Road to Success. CoRR abs/1706.09433 (2017) - [i5]Jekaterina Novikova, Ondrej Dusek, Amanda Cercas Curry, Verena Rieser:
Why We Need New Evaluation Metrics for NLG. CoRR abs/1707.06875 (2017) - [i4]Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Referenceless Quality Estimation for Natural Language Generation. CoRR abs/1708.01759 (2017) - [i3]Ioannis Papaioannou, Amanda Cercas Curry, Jose L. Part, Igor Shalyminov, Xinnuo Xu, Yanchao Yu, Ondrej Dusek, Verena Rieser, Oliver Lemon:
An Ensemble Model with Ranking for Social Dialogue. CoRR abs/1712.07558 (2017) - 2016
- [c22]Ondrej Dusek, Filip Jurcícek:
Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings. ACL (2) 2016 - [c21]Rudolf Rosa, Martin Popel, Ondrej Bojar, David Marecek, Ondrej Dusek:
Moses & Treex Hybrid MT Systems Bestiary. DMTW 2016: 1-10 - [c20]